Finding Intensional Knowledge of Distance-Based Outliers
Summary: Introduces intensional knowledge for distance-based outliers, characterizing strongest/weak outliers with structural explanations beyond mere detection. Optimizes discovery via path and semi-lattice sharing, yielding substantial I/O and runtime savings over naive and semi-naive methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Edwin M. Knorr (University of British Columbia)
- 2. Raymond T. Ng (University of British Columbia)
BibTeX Citation
@article{knorr_vldb99,
title = {{Finding Intensional Knowledge of Distance-Based Outliers}},
author = {Knorr, Edwin M. and Ng, Raymond T.},
journal = {PVLDB},
series = {{VLDB} '99},
pages = {211--222},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 143 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00029095978 |
| 587 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD | 0.00015900873 |
| 2,367 | Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces | 2005 | VLDB | 8.549962e-05 |
| 4,123 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.780889e-05 |
| 4,317 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.6538797e-05 |
| 7,943 | Outlier Summarization via Human Interpretable Rules | 2024 | VLDB | 5.4054523e-05 |
| 9,788 | Local Search Methods for k-Means with Outliers | 2017 | VLDB | 5.115551e-05 |
| 10,180 | Distance-Based Outlier Detection: Consolidation and Renewed Bearing | 2010 | VLDB | 5.0555297e-05 |
| 10,302 | On Saving Outliers for Better Clustering over Noisy Data | 2021 | SIGMOD | 5.0299171e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006440069 |
| 310 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00021410542 |
| 455 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00017953429 |
| 698 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.0001465073 |
| 733 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD | 0.00014341186 |
| 1,561 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD | 0.00010202205 |
| 1,664 | Scalable Techniques for Mining Causal Structures | 1998 | VLDB | 9.9377448e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,265 | Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries | 2021 | SIGMOD |
| 2 | 7,976 | Distributed Outlier Detection using Compressive Sensing | 2015 | SIGMOD |
| 3 | 2,364 | Online Outlier Detection in Sensor Data Using Non-Parametric Models | 2006 | VLDB |
| 4 | 10,302 | On Saving Outliers for Better Clustering over Noisy Data | 2021 | SIGMOD |
| 5 | 3,950 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD |
| 6 | 10,471 | Clustering with Set Outliers and Applications in Relational Clustering | 2026 | PODS |
| 7 | 10,180 | Distance-Based Outlier Detection: Consolidation and Renewed Bearing | 2010 | VLDB |
| 8 | 9,852 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD |
| 9 | 587 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD |
| 10 | 698 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB |